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Lookup NU author(s): Johannes Senn,
Professor Jon Mills,
Dr Pauline Miller,
Dr Claire Walsh,
Dr Maria-Valasia PeppaORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
UAS imagery has become a widely used source of information in geomorphic research. When photogrammetric methods are applied to quantify geomorphic change, camera calibration is essential to ensure accuracy of the image measurements. Insufficient self-calibration based on survey data can induce systematic errors that can cause DEM deformations. The typically low geometric stability of consumer grade sensors necessitates in-situ calibration, as the reliability of a lab based calibration can be affected by transport. In this research a robust on-site workflow is proposed that allows the time-efficient and repeatable calibration of thermal and optical sensors at the same time. A stone building was utilised as calibration object with TLS scans for reference. The approach was applied to calculate eight separate camera calibrations using two sensors (DJI Phantom 4 Pro and Workswell WIRIS pro), two software solutions (Vision Measurement System (VMS) and Agisoft Metashape) and two different subsets of images per sensor. The presented results demonstrate that the approach is suitable to determine camera parameters for pre-calibrating photogrammetric surveys.
Author(s): Senn JA, Mills JP, Miller PE, Walsh C, Addy S, Loerke E, Peppa MV
Publication type: Article
Publication status: Published
Journal: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online publication date: 06/08/2020
Acceptance date: 02/04/2018
Date deposited: 22/04/2021
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